“The Translation Cuddles up to the Original Like the Sheep to the Wolf” Nobel Prize Winner Elfriede Jelinek as a Translator1
Bibliographic record
Abstract
Elfriede Jelinek’s stance towards translation is full of respect: her own experiences as a translator showed her that what she primarily did was “learning by doing.” Jelinek has produced about a dozen translations from English and French into German, mostly drama texts. As an author, she became famous for the innovative and provocative language with which she denounces patriarchal structures, the enduring oppression of women, and the insidious continuation of fascist ideology in Austria and other parts of Europe. Yet her model of literature bluntly opposes her model of translation. She has repeatedly said that as a translator she supports “basically the method of relatively literal translation”—a claim which can be easily proved by looking at her translations. In my paper I will first give an overview of Jelinek’s translations (some of which are co-productions with other translators) and present her own views on translation, which will show that she is very much aware of the pitfalls of the translation activity. I will then analyze Jelinek’s notion of translation, followed by a short analysis of her translation of Christopher Marlowe’s The Jew of Malta . This will be the basis for my discussion of whether her ideas on translation, as expressed in several interviews and speeches, have been put into practice in her translation. It is, however, my assumption that Jelinek does not follow a strict set of translation strategies; rather, she engages intuitively with every new translation project.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.004 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".